Researchers at the University of California, Los Angeles (UCLA) have achieved a significant milestone in optical imaging technology. A new all-optical complex field imager has been developed, capable of capturing both amplitude and phase information of optical fields without the need for digital processing.
NASA ’s X-59 quiet supersonic aircraft project has reached a critical milestone with the completion of the Flight Readiness Review, paving the way for future flight testing.
NASA has advanced the airworthiness verification of its quiet supersonic X-59 aircraft with the completion of a milestone review that will allow it to progress toward flight.
An independent Flight Readiness Review board comprising experts from throughout NASA has concluded a detailed evaluation of the X-59 project team’s safety strategies for the public and staff during both ground and flight testing. The board meticulously examined the team’s assessment of potential hazards, focusing on safety and risk identification.
A simulation-generated image reveals how charge distributions and gas densities vary in the plasma that floats across our universe.
By Alex Wilkins
One of the trade-offs of today’s technological progress is the big energy costs necessary to process digital information. To make AI models using silicon-based processors, we need to train them with huge amounts of data. The more data, the better the model. This is perfectly illustrated by the current success of large language models, such as ChatGPT. The impressive abilities of such models are due to the fact that huge amounts of data were used for their training.
The more data we use to teach digital AI, the better it becomes, but also the more computational power is needed.
This is why to develop AI further; we need to consider alternatives to the current status quo in silicon-based technologies. Indeed, we have recently seen a lot of publications about Sam Altman, the CEO of OpenAI topic.
Armed with up to $39 million in federal funding, a dream team of researchers from three Colorado campuses aims to end osteoarthritis.
From Shanghai Jiao Tong University & Microsoft Parrot Efficient Serving of LLM-based Applications with Semantic Variable.
From shanghai jiao tong university & microsoft.
Parrot.
Efficient Serving of LLM-based Applications with Semantic Variable.
The rise of large language models (LLMs) has enabled LLM-based applications (a.k.a.
Join the discussion on this paper page.
Together with collaborators in Michigan’s Neural Circuits and Memory Lab led by Diba, Rice neuroscientist Caleb Kemere has been studying the process by which specialized neurons produce a representation of the world after a new experience.
Some dreams may, in fact, predict the future: New research has found that during sleep, some neurons not only replay the recent past but also anticipate future experience.
Is it possible that time is real, and that the laws of physics are not fixed? Lee Smolin, A C Grayling, Gillian Tett, and Bronwen Maddox explore the implications of such a profound re-think of the natural and social sciences, and consider how it might impact the way we think about surviving the future.
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